Research on the Symbiotic Evolution of Subjects in Emerging Technology Innovation Ecosystem

 Innovation ecosystem is an important way for emerging industries to integrate innovation resources and enhance the core competitiveness of industries. Based on the perspective of system symbiotic evolution research, this paper uses the Logistic equation of ecology to construct a symbiotic evolution model of emerging technological innovation ecosystems, analyzes the equilibrium points and equilibrium conditions of system evolution, and reveals the symbiotic evolution laws of emerging technological innovation ecosystems. The results show that: (1) The emerging technology innovation ecosystem is a complex system in which four types of innovation subjects, namely the core innovation layer, auxiliary innovation layer, supporting innovation layer, and application innovation layer, jointly create value in a certain symbiotic environment; (2) Innovation subjects The degree of symbiosis between them determines the stability and equilibrium state of the symbiotic evolution of the emerging technological innovation ecosystem; (3) The mutual-benefit symbiosis model can maximize the synergy of innovation subjects, and system members should strive to change from the parasitic symbiosis to the beneficial symbiosis. Switch to symbiosis mode.

• Publication year

  2023

• Venue

  Frontiers in Business, Economics and Management

• Publication date

  2023-03-13

• Fields of study

  Not labeled

• Identifiers
  DOI 10.54097/fbem.v8i1.5845
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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